CambioAM – Unsupervised ML for FX Fraud Detection

CambioAM – Unsupervised ML for FX Fraud Detection

Solution

CambioAM – Unsupervised ML for FX Fraud Detection

CambioAM is a pilot project applying unsupervised machine learning algorithms to identify financial institutions whose operational patterns in foreign exchange contracts deviate from the norm, significantly reducing analysis time from 20-30 days to near-automated conclusions. Enhances ability to identify irregularities and assess risk in FX operations (pg. 7).

  • Use cases, geography and tags
  • Organizations that created, adopted or are mentioned
  • Ecosystem position
  • Link to the original asset
  • Comments and reactions